Description: 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based models can be used to predict liquidity risk for banks, which must comply with Basel III by January 2015. The paper looks at the process of developing a measurement framework using Black-Scholes and Merton’s asset-based models to measure liquidity risk.

Description: This article talks about the role that models played in the subprime meltdown and the subsequent crisis in the financial markets in general. The models failed to provide information about the magnitude of potential 'black swans'. Extreme Value Theory [EVT] is described as a potential solution to this error.

Description: This article describes the financial modelers’ manifesto. Focus is on how difficult it is to model financial instruments when there is a human element involved.

Description: This article discusses the reliance the banking industry placed on sophisticated mathematical models.

Description: There is widespread acknowledgement in the insurance industry that cyber risk remains an untamed and seemingly ever-growing beast. It is also unique in the family of risk exposures faced by insurers in that it is both an emerging risk and an emerged risk. What are companies doing to keep on top of this risk? What are actuaries doing to contribute to cyber risk management, and what can we learn from other industries and disciplines?

Description: In this article, the author examines Nassim Taleb’s work and writings and discusses its relevance to the future of the actuarial profession.

Description: This paper explores areas where fuzzy logic models may be applied to improve risk assessment and risk decision-making. It discusses the methodology, framework and process of using fuzzy logic systems for risk management. With the help of practical examples, it is hoped that it will encourage wise application of fuzzy logic models to risk modeling.

Description: In this article, the author discusses earthquake modeling.

Description: Book review of Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk by author Christina Ray.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.